TannerGilbert/Run-TFLITE-models-on-the-web
Run TFLITE models on the web
This project helps web developers integrate lightweight machine learning models directly into web applications. You can take your existing TensorFlow Lite models (for tasks like image classification, object detection, or sentiment analysis) and deploy them to a website without complex conversions. This is for web developers who want to add interactive AI features to their web pages, allowing users to experience real-time model inference directly in their browser.
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Use this if you are a web developer who needs to embed pre-trained TensorFlow Lite models directly into a website for real-time, client-side inference.
Not ideal if you need to run machine learning models on a server, in a Node.js environment, or require complex model training within the web browser itself.
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JavaScript
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Last pushed
Jan 02, 2022
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